Platform Features

What types of AI workloads can Yotta Labs run?

Yotta Labs can run all types of AI workloads, including model training, inference, data processing, and experimentation.

What frameworks and models are supported？

Yotta Labs supports major AI frameworks including PyTorch and integrates seamlessly with Hugging Face Transformers and other popular pretrained models. Users can train, fine-tune, or run inference on a wide range of models without extra configuration. You can create your own by launching private templates as well. See our Templates.

What logging and monitoring tools are included?

Yotta Labs provides built‑in logs at the container and system level accessible via the console or API, helping users debug and monitor workloads.

What APIs are available and how do I authenticate?

• Yotta Labs provides APIs for ssh connection to manage resources, submit workloads, and monitor jobs.

• Authentication is handled via API keys, which can be generated from the Yotta console and passed in request headers.

Is data persistent across sessions?

Persistence depends on your storage choice; for long-term datasets/models use persistent storage options.See Pods-> Deploy->Persistent Storage.